EconPapers    
Economics at your fingertips  
 

Evaluation theory and its application to military assessments

Andrew Keith, Darryl Ahner and Nicole Curtis

The Journal of Defense Modeling and Simulation, 2019, vol. 16, issue 4, 305-322

Abstract: Evaluation theory provides a rigorous foundation for the practice of military operation assessment. Government and industry assessors have used evaluation theory to improve the effectiveness of assessment across a wide range of fields. This article focuses on the relationship between evaluation theory and military assessment. We briefly survey the major evaluation approaches with a focus on connecting the theoretical models to practical security-related applications. These evaluation approaches include expertise-oriented, program-oriented, decision-oriented, and participant-oriented models. Within the overarching framework of these approaches, we consider alternative monitoring and evaluation designs in detail, including descriptive designs (case study, cross-sectional, time-series), quasi-experimental designs (interrupted time-series, comparison group, case study), and experimental designs (posttest-only, pre-post). Then, we discuss quantitative and qualitative methods for analyzing and reporting uncertainty with respect to each design alternative, with an emphasis on mixed-method approaches. Throughout the review, we make the relationship between evaluation theory and operation assessment practice explicit through examples, and we suggest more detailed references where appropriate.

Keywords: Operation assessment; evaluation theory; uncertainty; risk; ambiguity (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1548512919834670 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:joudef:v:16:y:2019:i:4:p:305-322

DOI: 10.1177/1548512919834670

Access Statistics for this article

More articles in The Journal of Defense Modeling and Simulation
Bibliographic data for series maintained by SAGE Publications ().

 
Page updated 2025-03-19
Handle: RePEc:sae:joudef:v:16:y:2019:i:4:p:305-322